awesome-seedance-prompts and awesome-ai-video-prompts
These two projects are competitors, as both aim to be curated collections and resource hubs for AI video prompting, offering similar resources like prompt templates and cinematic techniques for high-fidelity AI video generation.
About awesome-seedance-prompts
HuyLe82US/awesome-seedance-prompts
Seedance 2.0 prompt vault & resource hub for high-fidelity AI video generation. Curated, proven templates plus practical workflows to go from idea → production-ready outputs fast-covering cinematic film, anime, UGC, social content, memes, and advertising.
Organizes community-sourced prompts with timestamped scene breakdowns, aspect ratio specifications, and synchronized beat-matching cues optimized for Seedance 2.0's segmented generation model. Each template includes proof-of-concept video clips, source attribution, and modular prompt blocks for duration/style swapping without re-engineering. Targets creators working with music sync, character consistency via reference images, and multi-scene compositions across film, music video, and horror genres.
About awesome-ai-video-prompts
geekjourneyx/awesome-ai-video-prompts
A curated collection of AI video prompting resources, featuring official guides, prompt templates, cinematic techniques, and audio-visual synchronization methods for Veo, Sora, Runway, Pika, Kling, and other leading AI video tools.
The repository organizes prompt engineering knowledge into structured domains—basic templates, commercial/artistic specializations, and technical parameter control—alongside a cinematic language reference covering shot classification, camera movement, and professional terminology specific to video generation. It maps tool-specific capabilities across Veo, Sora, Runway, Pika, and Kling through dedicated guides, while treating audio-visual synchronization as a first-class concern with dedicated sound design and sync technique sections. The community-driven structure emphasizes iterative contribution of real prompt examples, success case studies, and troubleshooting patterns rather than theoretical guidance alone.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work